This app validates the presence and content of up to five private data variables in an incoming job.
You can check whether essential private data values are present and match specific criteria (exact values or regular expressions). Only jobs with valid data continue in the workflow, while invalid ones are redirected for review or correction. This helps ensure data quality and prevents errors in later workflow steps. The best part: The workflow designer direclty sees where values are being checked rather than searching several different connections.
Maximizing the quality of our production lines is one of our most important targets. Every little error can result in production delay or consequential errors.
Protect your workflows from costly downstream errors by validating critical job data before processing continues.
Flexible validation logic with support for exact matches and powerful regular expression checks.
Ensure consistent data quality across automated workflows and integrations.
Reduce manual troubleshooting by catching invalid or incomplete data at the earliest stage.
Improve workflow reliability by allowing only compliant jobs to proceed.
Increase automation confidence by enforcing business rules directly within the workflow.
Clear success and failure paths simplify debugging and operational monitoring.
Prevent unexpected processing behavior caused by missing, malformed, or unauthorized data values.
Ideal for compliance-sensitive environments where data integrity and process control are essential.
Minimize operational downtime by stopping problematic jobs before they affect downstream systems.
Output:
If any validation fails, the job is routed to the error connection output.
Jobs that pass all validations are sent through the success output.
